Learning Notebook - David Rostcheck
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In “AVIS: Autonomous Visual Information Seeking with Large Language Models”, we introduce a novel method that achieves state-of-the-art results on visual information seeking tasks. Our method integrates LLMs with three types of tools: (i) computer vision tools for extracting visual information from images, (ii) a web search tool for retrieving open world knowledge and facts, and (iii) an image search tool to glean relevant information from metadata associated with visually similar images. AVIS employs an LLM-powered planner to choose tools and queries at each step. It also uses an LLM-powered reasoner to analyze tool outputs and extract key information. A working memory component retains information throughout the process.
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